Source code for cerebras.modelzoo.data_preparation.nlp.slimpajama.dedup.generate_duplicates_dict

# Copyright 2022 Cerebras Systems.
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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
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#     http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
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import argparse
import pickle
from collections import defaultdict

import tqdm


[docs]def generate_duplicates(args): print("Processing duplicates!!!") # load pickled components and other artifacts with open(args.input_file, "rb") as fin: components, n_components, reversed_mapper = pickle.load(fin) duplicates = defaultdict(set) n_duplicate_docs = 0 for component in tqdm.tqdm(components): for j in range(1, len(component)): doc = reversed_mapper[component[j]] file_name, doc_idx = doc.split("@") duplicates[file_name].add(int(doc_idx)) n_duplicate_docs += 1 print( "number of duplicate documents that will be removed:", n_duplicate_docs ) with open(args.out_file, "wb") as fout: pickle.dump(duplicates, fout)
if __name__ == "__main__": parser = argparse.ArgumentParser() parser.add_argument("--input_file") parser.add_argument("--out_file") args = parser.parse_args() generate_duplicates(args)